Graphical Analysis of Multi-Response Data: Illustrated with a Plant Breeding Trial

ISBN-13: 9780849303845 / Angielski / Twarda / 1998 / 592 str.

J. W. Tukey; K. E. Basford;Tukey

Opis

A comprehensive summary of new and existing approaches to analyzing multiresponse data, Graphical Analysis of Multiresponse Data emphasizes graphical procedures. These procedures are then used, in various ways, to analyze, summarize, and present data from a specific, well-known plant breeding trial.
These procedures result in overlap plots, their corresponding semigraphical tables, scatter plot matrices, profiles across environments and attributes for individual genotypes and groups of genotypes, and principal components.
The interpretation of these displays, as an aid to understanding, is illustrated and discussed. Techniques for choosing expressions for the observed quantities are also emphasized.
Graphical Analysis of Multiresponse Data is arranged into three parts:

What can usefully be done

Consequences for the example

Approaches and choices in more detail
That structure enables the reader to obtain an overview of what can be found, and to then delve into various aspects more deeply if desired.
Statisticians, data analysts, biometricians, plant breeders, behavioral scientists, social scientists, and engineering scientists will find Graphical Analysis of Multiresponse Data offers invaluable assistance. Its details are also of interest to scientists in private firms, government institutions, and research organizations who are concerned with the analysis and interpretation of experimental multiresponse data.

Recenzje

"…collaboration between a recognized expert in graphical data exploration methods, and a statistician experienced in the analysis of data from plant breeding trials."
M. Talbot, Biometrics, Vol. 56, No. 2, June 2000
"…the book is likely to be of most interest to a statistician involved in plant breeding or, perhaps, to an academic with interests in graphical data analysis techniques."
M. Talbot, Biometrics, Vol. 56, No. 2, June 2000

Spis treści

PART A
Introduction to Part A
The Example
Styles of Analysis
PART B
Introduction to Part B
Overall Behaviour: SPLOMs across Attributes and across Environments
Semigraphical Comparison of Genotypes for ech Attibute-Environment Pair
Profiles of Individual Genotypes and Groups
SPLOMs for Genotype Groups
Re-Attribution of the Responses on the 43 Genotypes
Semigraphical Displays for the Re-Attributed Data
Re-Envionmenting
Re-Expression
PART C
Introduction to Part C
Global Aspects of the Data
Data Laundry
Choices of Expression
Seeking Exotic Values
Local Analyses and Displays
Combined Analyses
Grouping and Labelling Genotypes
Idolinkage, Nearest and Centroid
Other Blended Forms; Xpanded Idiolinkage
Robust Forms of Idiolinkage
Idiomax
Robust Sphering
A Side Issue and More Carful Sphering
Detrivialization of One- and Two-Way Tables: An Introduction
Later Attributes and Subtables
Sphering the Soybean Data
Grouping the Soybean Genotypes
Ordering the Environments
One Approach to Plotting
Smoothing Short Sequences (of perhaps 6 to 18 Values)
Presentations across Attibutes
Choice of Expression: Generalities
Removable Inhomogeneity of Variability
Removable Non-Additivity
Linearity of Response
Relative Importance and Combination
Interpretation and Hybridization
APPENDICES
REFERENCES

O autorze

Basford, Kaye Enid; Tukey, John Wilder